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Mcp-Omega-Brain

Mcp-Omega-Brain

by VrtxOmega
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Python
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veritas_claeg_resolve

Maps a VERITAS verdict to a CLAEG terminal state to determine the system's required operational state after a pipeline run.

Instructions

Maps a VERITAS verdict to a CLAEG terminal state: PASS→STABLE_CONTINUATION, MODEL_BOUND/INCONCLUSIVE→ISOLATED_CONTAINMENT, VIOLATION→TERMINAL_SHUTDOWN. Use this after a pipeline run to determine the system's required operational state. Returns JSON with fields: verdict (string), terminal_state (string), invariant (string).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "verdict": "<verdict>"
    },
    "name": "veritas_claeg_resolve"
  }
}

Input Schema

NameRequiredDescriptionDefault
verdictYesVERITAS verdict to resolve. Must be one of: PASS, MODEL_BOUND, INCONCLUSIVE, VIOLATION.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removedv2.1.1
  3. Changed1 schema field changedv1.0.2
    • changedInput schema / properties / verdict / description
      Previous value: -"The VERITAS verdict to resolve into a CLAEG terminal state. Must be one of the four canonical verdict values."New value: +"VERITAS verdict to resolve. Must be one of: PASS, MODEL_BOUND, INCONCLUSIVE, VIOLATION."
  4. Changed1 schema field changedv1.0.1
    • addedInput schema / properties / verdict / description
      Added value: +"The VERITAS verdict to resolve into a CLAEG terminal state. Must be one of the four canonical verdict values."
  5. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It discloses the return format (JSON with three fields) but does not state whether the tool has side effects or is read-only. The mapping is deterministic but the mutability is ambiguous.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences: first maps verdicts to states, second gives usage and return format. Efficient and front-loaded, with no unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one enum parameter and no output schema, the description provides enough information (mapping, usage, return fields) to use correctly. No gaps apparent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the schema already describes the 'verdict' parameter with enum values. The description adds no additional semantic nuance beyond the schema, which is adequate for this single-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool maps VERITAS verdicts to CLAEG terminal states with specific mappings, and identifies when to use it (after a pipeline run). However, it does not differentiate from the sibling tool veritas_claeg_transition, which likely has a similar purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides usage context ('Use this after a pipeline run') but does not specify when not to use it or mention any alternatives among the sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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